The authors implement a stall-free deep-pipelined FPGA dataflow architecture for GraVNetConv and condensation clustering, achieving real-time throughput and latency on a Versal FPGA.
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruc- tion in High Energy Physics
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Real-Time Graph-based Point Cloud Networks on FPGAs via Stall-Free Deep Pipelining
The authors implement a stall-free deep-pipelined FPGA dataflow architecture for GraVNetConv and condensation clustering, achieving real-time throughput and latency on a Versal FPGA.